TY - GEN
T1 - Floating task
T2 - 19th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2010
AU - Lazarova-Molnar, Sanja
AU - Mizouni, Rabeb
PY - 2010
Y1 - 2010
N2 - Despite several attempts to accurately predict duration and cost of projects, simulation models in use are still over simplified and nonrealistic. They often fail to cope with real-life scenarios and uncertainty. In this paper we use the proxel-based simulation method to analyze and predict duration of project schedules exhibiting high uncertainty due to typical on-the-fly human decision behavior. The proxel-based simulation is an approximate simulation method that is more precise than discrete-event simulation. To model uncertainty, we introduce a new type of task, state-dependent (floating) task that supports and demonstrates a high degree of uncertainty and depends on various parameters in the schedule. For example, the probability distribution of the duration of a task can change depending on the team that performs it. Thus, this kind of task can be used to model the frequent re-scheduling in a project. We use software development process to illustrate our approach.
AB - Despite several attempts to accurately predict duration and cost of projects, simulation models in use are still over simplified and nonrealistic. They often fail to cope with real-life scenarios and uncertainty. In this paper we use the proxel-based simulation method to analyze and predict duration of project schedules exhibiting high uncertainty due to typical on-the-fly human decision behavior. The proxel-based simulation is an approximate simulation method that is more precise than discrete-event simulation. To model uncertainty, we introduce a new type of task, state-dependent (floating) task that supports and demonstrates a high degree of uncertainty and depends on various parameters in the schedule. For example, the probability distribution of the duration of a task can change depending on the team that performs it. Thus, this kind of task can be used to model the frequent re-scheduling in a project. We use software development process to illustrate our approach.
KW - Human resource allocation
KW - On-the-fly decisions
KW - Project scheduling
KW - Simulation
KW - Uncertainty
UR - http://www.scopus.com/inward/record.url?scp=77955911168&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77955911168&partnerID=8YFLogxK
U2 - 10.1109/WETICE.2010.27
DO - 10.1109/WETICE.2010.27
M3 - Conference contribution
AN - SCOPUS:77955911168
SN - 9780769540634
T3 - Proceedings of the Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE
SP - 136
EP - 141
BT - 19th IEEE International Workshops on Enabling Technologies
Y2 - 28 June 2010 through 30 June 2010
ER -